A Spatial Analysis of Preventable Hospitalization for Ambulatory Care Sensitive Conditions and Regional Characteristics in South Korea

Jinkyung Kim, Hye Young Kang, Kwang Soo Lee, Songhee Min, Euichul Shin

Research output: Contribution to journalArticle

Abstract

Hospitalization rates for ambulatory care sensitive conditions (ACSCs) can indicate the accessibility of a community’s primary care. We examined regional variation in ACSC hospitalization rates and identified associated factors. ACSC hospitalization rates in the 232 districts in 2013 ranged from 4.08 to 101.53 per 1000 adults. Spatial analysis showed that none of the 24 highest rate districts were located near Seoul, whereas 80% of the 45 lowest rate districts were, suggesting health care inequality between people living near Seoul and in other areas. Regression analysis showed significantly higher ACSC hospitalization rates in districts with higher elderly (β = 0.94) and low-income populations (β = 2.25), more remote areas (β = 0.29), and more hospital beds (β = 0.03). The number of primary care clinics was negatively associated with ACSC hospitalization (β = −1.37). For these variables, geographically weighted regression analysis provided local regression coefficients, useful for developing region-specific strategies to reduce ACSC hospitalization.

Original languageEnglish
Pages (from-to)422-432
Number of pages11
JournalAsia-Pacific Journal of Public Health
Volume31
Issue number5
DOIs
Publication statusPublished - 2019 Jul 1

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Republic of Korea
Spatial Analysis
Ambulatory Care
Hospitalization
Primary Health Care
Regression Analysis
Healthcare Disparities
Poverty

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

Cite this

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abstract = "Hospitalization rates for ambulatory care sensitive conditions (ACSCs) can indicate the accessibility of a community’s primary care. We examined regional variation in ACSC hospitalization rates and identified associated factors. ACSC hospitalization rates in the 232 districts in 2013 ranged from 4.08 to 101.53 per 1000 adults. Spatial analysis showed that none of the 24 highest rate districts were located near Seoul, whereas 80{\%} of the 45 lowest rate districts were, suggesting health care inequality between people living near Seoul and in other areas. Regression analysis showed significantly higher ACSC hospitalization rates in districts with higher elderly (β = 0.94) and low-income populations (β = 2.25), more remote areas (β = 0.29), and more hospital beds (β = 0.03). The number of primary care clinics was negatively associated with ACSC hospitalization (β = −1.37). For these variables, geographically weighted regression analysis provided local regression coefficients, useful for developing region-specific strategies to reduce ACSC hospitalization.",
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A Spatial Analysis of Preventable Hospitalization for Ambulatory Care Sensitive Conditions and Regional Characteristics in South Korea. / Kim, Jinkyung; Kang, Hye Young; Lee, Kwang Soo; Min, Songhee; Shin, Euichul.

In: Asia-Pacific Journal of Public Health, Vol. 31, No. 5, 01.07.2019, p. 422-432.

Research output: Contribution to journalArticle

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